Program Overview

Program Overview

The Data Analytics Bootcamp is a comprehensive program designed to transform beginners in data analytics into technically advanced data analysts. The program is expected to be completed in 6 months, with students studying between 15-20 hours per week.

Admissions Process

The admissions process is multi-step and includes:

• Interview via phone with an Enrollment Advisor to assess fit for the program
  • This interview is required to gain provisional acceptance into the program
• Completion of a technical skills survey to assess knowledge gaps
  • The survey is sent via email and should be completed within 24 hours
• Reservation of a seat in the program, which includes:
  • Receiving a registration link via email to fill out within 24 hours
  • Choosing a start date and payment plan
  • Completing a student profile to finalize enrollment and be eligible for mentor matching

Tuition Payments

The program offers three payment options:

• Upfront payment: a discounted total payment made at the beginning of the program
• Month to month: four payments made while in the program
• Climb Credit loan: a deposit made at the time of enrollment, with payments made over 12-24 months, depending on the loan type
  • 0% APR options may be available to those who qualify

Career Support

The program includes optional career units and one-on-one support with a career coach to create a successful job search strategy, including:

• Building a network
• Crafting a data analytics resume and LinkedIn profile
• Practicing mock technical and behavioral interviews
• Debriefing after actual job interviews
• Negotiating salary
• The program expects students to be able to land a job within six months of course graduation

Prerequisites for Admission

The prerequisites for the bootcamp include:

• English fluency (spoken and written)
• Strong problem-solving and critical thinking skills The bootcamp is designed for beginners in data analytics, with the goal of transforming them into technically advanced data analysts.